Jupyter Notebook setup and usage in Data Analysis Python - Practice Problems & Coding Challenges

Challenge - 5 Problems

❓ Predict Output

intermediate

Output of a Jupyter Notebook cell with variable assignment and print

What is the output shown in the notebook cell after running this code?

Data Analysis Python

x = 10
print(x * 2)
x

A

10
20

B

20
10

C

20
20

D

10
10

💡 Hint

Remember that print outputs to the cell output, and the last expression's value is also shown.

The print statement outputs 20 first. Then the last expression 'x' outputs 10 as the cell's result.

❓ data_output

intermediate

DataFrame display in Jupyter Notebook

What will be the displayed output of this Jupyter Notebook cell?

Data Analysis Python

import pandas as pd
df = pd.DataFrame({'A': [1, 2], 'B': [3, 4]})
df

A A table with columns A and B, rows 0 and 1, values [[1,3],[2,4]]

B {'A': [1, 2], 'B': [3, 4]}

C A list of tuples: [(1,3), (2,4)]

D A printed string: ' A B\n0 1 3\n1 2 4'

💡 Hint

In Jupyter, returning a DataFrame displays it as a table.

The DataFrame object is rendered as a table with columns and rows in Jupyter Notebook.

🧠 Conceptual

advanced

Kernel behavior in Jupyter Notebook

What happens when you restart the kernel in a Jupyter Notebook?

A The notebook saves automatically and continues running without interruption.

B Only variables are cleared; imports remain available.

C The notebook interface closes and reopens automatically.

D All variables and imports are cleared; you must rerun cells to restore state.

💡 Hint

Think about what a kernel controls in Jupyter Notebook.

Restarting the kernel clears all memory including variables and imports. You need to rerun cells to restore the environment.

🔧 Debug

advanced

Identify the error in Jupyter Notebook cell execution order

You run these cells in order: Cell 1: a = 5; Cell 2: print(b); Cell 3: b = 10 What error occurs and why?

Data Analysis Python

Cell 1:
a = 5

Cell 2:
print(b)

Cell 3:
b = 10

A SyntaxError in Cell 2 due to missing variable declaration.

B No error; output is 10.

C NameError in Cell 2 because b is not defined before print.

D TypeError in Cell 2 because b is not an integer.

💡 Hint

Variables must be defined before use in the same kernel session.

Since b is assigned after the print statement, it is undefined when print(b) runs, causing a NameError.

🚀 Application

expert

Using magic commands to time code execution in Jupyter Notebook

Which option correctly uses a Jupyter magic command to time how long a single line of code takes to run?

Data Analysis Python

import time

# Code to time: time.sleep(1)

A %time time.sleep(1)

B %%time time.sleep(1)

C %timing time.sleep(1)

D %%timing time.sleep(1)

💡 Hint

Single line timing uses %time, cell timing uses %%time.

The %time magic times a single line of code. %%time is for timing whole cells. %timing and %%timing are invalid magics.